Add operator to check that artifact was uploaded using callback

dev/dags/example_operators.py

@@ -1,8 +1,10 @@
 import os
 from datetime import datetime
 from pathlib import Path
+from typing import Any
 
 from airflow import DAG
+from airflow.operators.python import PythonOperator
 
 from cosmos import DbtCloneLocalOperator, DbtRunLocalOperator, DbtSeedLocalOperator, ProfileConfig
 from cosmos.io import upload_artifacts_to_aws_s3
@@ -19,6 +21,17 @@
     profiles_yml_filepath=DBT_PROFILE_PATH,
 )
 
+
+def check_s3_file(bucket_name: str, file_key: str, aws_conn_id: str = "aws_default", **context: Any) -> bool:
+    """Check if a file exists in the given S3 bucket."""
+    from airflow.providers.amazon.aws.hooks.s3 import S3Hook
+
+    s3_key = f"{context['dag'].dag_id}/{context['run_id']}/seed/0/{file_key}"
+    print(f"Checking if file {s3_key} exists in S3 bucket...")
+    hook = S3Hook(aws_conn_id=aws_conn_id)
+    return hook.check_for_key(key=s3_key, bucket_name=bucket_name)
+
+
 with DAG("example_operators", start_date=datetime(2024, 1, 1), catchup=False) as dag:
     # [START single_operator_callback]
     seed_operator = DbtSeedLocalOperator(
@@ -43,6 +56,16 @@
     )
     # [END single_operator_callback]
 
+    check_file_uploaded_task = PythonOperator(
+        task_id="check_file_uploaded_task",
+        python_callable=check_s3_file,
+        op_kwargs={
+            "aws_conn_id": "aws_s3_conn",
+            "bucket_name": "cosmos-artifacts-upload",
+            "file_key": "target/run_results.json",
+        },
+    )
+
     run_operator = DbtRunLocalOperator(
         profile_config=profile_config,
         project_dir=DBT_PROJ_DIR,
@@ -64,3 +87,4 @@
     # [END clone_example]
 
     seed_operator >> run_operator >> clone_operator
+    seed_operator >> check_file_uploaded_task